Learners will gain the ability to manipulate, analyze, and visualize data effectively using Python’s Pandas library. By the end of this course, they will be able to filter and transform datasets, apply grouping and aggregation, handle missing values, manage indexes, and reshape data for advanced analytics. They will also master techniques for working with time series, pivot tables, crosstabs, and exporting data to CSV and Excel.
Pandas with Python: Analyze, Transform & Export Data
Pandas with Python: Analyze, Transform & Export Data
本课程是 Data Analysis with NumPy and Pandas 专项课程 的一部分
位教师：EDUCBA
包含在 中
您将学到什么
Filter, group, aggregate, and reshape datasets using Pandas.
Handle missing values, manage indexes, and analyze time series.
Create pivot tables, crosstabs, and export data to CSV/Excel.
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要了解的详细信息
可分享的证书
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最近已更新！
October 2025
作业
16 项作业
授课语言：英语（English）
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本课程是 Data Analysis with NumPy and Pandas 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有4个模块
This module introduces learners to the Pandas library, its installation, and the Jupyter environment for hands-on coding. It covers Pandas’ core data structures, including Series and DataFrames, and explores fundamental operations for working with rows and columns. Learners build a strong foundation for effective data handling.
涵盖的内容
9个视频4个作业
This module focuses on advanced filtering, selection, and transformation of data. Learners explore indexing by labels and positions, handle data types, apply string methods, and group data for aggregation. It also emphasizes working with Series, plotting, and handling null values.
涵盖的内容
12个视频4个作业
This module introduces indexing concepts and parameters that enhance data manipulation. Learners explore memory management, sampling strategies, dummy coding, handling duplicates, working with date/time functions, and avoiding common pitfalls like copy warnings.
涵盖的内容
16个视频4个作业
This module covers advanced reshaping, merging, and exporting functionalities in Pandas. Learners gain expertise in display options, formatting, working with pivot tables, crosstab functions, and exporting data to external formats like CSV and Excel for practical applications.
涵盖的内容
22个视频4个作业
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状态：免费试用
状态：免费试用
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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